Kologram

Kologram is a marketplace backend built as a set of small services that talk to each other over HTTP and an event bus. Buyers and sellers…

A new way for AI to search for data
View on GitHub
8GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 3f09dc6891 (2026-10-16).

Selected work

Hamed Amiri
@HDAI654

“imrpove test-ui”. 11 files, 1,721 lines in test_ui.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-16. Same terms as the repository. Answers name the repo, the commit and the file:line.

in licence reviewnot in the hub yetsuggested use: adapt with attribution

Example questions

The prompt

Paste it into your AI agent. It clones HDAI654/Kologram at the pinned commit and indexes it on your machine.

Search the GitHub repository HDAI654/Kologram with XERJ (https://hub.xerj.org/corpus/hdai654--kologram).
Run these in a shell, in order, and check each result before the next:
1. xerj --help  (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh
2. git clone https://github.com/HDAI654/Kologram Kologram && git -C Kologram checkout 3f09dc68914173b1e7a23f65beec3864dd93359b
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./Kologram --url http://127.0.0.1:9200 --prefix kologram --progress plain
5. xerj autoindex map --url http://127.0.0.1:9200
Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt
Licence: MIT. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.